Matthew D. Scharff

19.0k citations

252 papers · 15.2k indexed · 3 hit papers · h-index 67

Impact in

Immunology top 0.2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Radiology, Nuclear Medicine and Imaging top 0.1%
- Monoclonal and Polyclonal Antibodies Research

Papers in

Radiology, Nuclear Medicine and Imaging 120
- Monoclonal and Polyclonal Antibodies Research 119
Immunology 106
- T-cell and B-cell Immunology 66
- Immune Cell Function and Interaction 19
- Toxin Mechanisms and Immunotoxins 18

Co-authors: Arturo Casadevall Jacob V. Maizel DAVID O. WHITE Reuven Laskov Jean Mukherjee Alberto Martín David H. Margulies Myron F. Goodman
Journals: Proceedings of the National Academy of Sciences (41 papers)The Journal of Experimental Medicine (26 papers)The Journal of Immunology (21 papers)Infection and Immunity (8 papers)Journal of Immunological Methods (8 papers)
Partner nations: United States Canada Israel

In The Last Decade

Matthew D. Scharff

250 papers receiving 14.0k citations

Hit Papers

align trajectories log scale

Activation-induced cytidine deaminase deaminates deoxycytidine on single-stranded DNA but requires the action of RNase 2003 · 546 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2003 Proceedings of the National Academy of Sciences
1977 Somatic Cell and Molecular Genetics
1968 Virology

Peers

Countries citing papers authored by Matthew D. Scharff

Since Specialization

Citations

This map shows the geographic impact of Matthew D. Scharff's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew D. Scharff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Scharff more than expected).

Fields of papers citing papers by Matthew D. Scharff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Scharff. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew D. Scharff. The network helps show where Matthew D. Scharff may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew D. Scharff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew D. Scharff Line = papers co-authored together Matthew D. Scharff links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Role of EXO1 nuclease activity in genome maintenance, the immune response and tumor suppression in Exo1D173A mice Nucleic Acids Research ·Shanzhi Wang, Kyeryoung Lee, Stephen Gray, Yongwei Zhang, Catherine Tang, Rikke Brandstrup Morrish, Elena Tosti, Johanna van Oers, Mohammad Ruhul Amin, Paula E. Cohen, Thomas MacCarthy, Sergio Roa, Matthew D. Scharff, Winfried Edelmann, Richard Chahwan	2022	12
2	Post-Transformation IGHV-IGHD-IGHJ Mutations in Chronic Lymphocytic Leukemia B Cells: Implications for Mutational Mechanisms and Impact on Clinical Course Frontiers in Oncology ·Davide Bagnara, Catherine Tang, Jennifer R. Brown, Siddha Kasar, Stacey M. Fernandes, Monica Colombo, Stefano Vergani, Andrea Nicola Mazzarello, Fabio Ghiotto, Silvia Bruno, Fortunato Morabito, R. Kanti, Jonathan E. Kolitz, Jacqueline C. Barrientos, Steven L. Allen, Franco Fais, Matthew D. Scharff, Thomas MacCarthy, Nicholas Chiorazzi	2021	8
3	AID Overlapping and Polη Hotspots Are Key Features of Evolutionary Variation Within the Human Antibody Heavy Chain (IGHV) Genes Frontiers in Immunology ·Catherine Tang, Davide Bagnara, Nicholas Chiorazzi, Matthew D. Scharff, Thomas MacCarthy	2020	21
4	Intraclonal Complexity in Chronic Lymphocytic Leukemia: Fractions Enriched in Recently Born/Divided and Older/Quiescent Cells Molecular Medicine ·Carlo Calissano, Rajendra N. Damle, Sonia Marsilio, Xiao‐Jie Yan, Sophia Yancopoulos, Gregory M. Hayes, Claire Emson, Elizabeth J. Murphy, Marc K. Hellerstein, Cristina Sison, Matthew Kaufman, Jonathan E. Kolitz, Steven L. Allen, R. Kanti, Ivana Ivanovic, Igor Dozmorov, Sergio Roa, Matthew D. Scharff, Wentian Li, Nicholas Chiorazzi	2011	129
5	Ubiquitylated PCNA plays a role in somatic hypermutation and class-switch recombination and is required for meiotic progression Proceedings of the National Academy of Sciences ·Sergio Roa, Elena Avdievich, Jonathan U. Peled, Thomas MacCarthy, Uwe Werling, Fei Kuang, Rui Kan, Chunfang Zhao, Aviv Bergman, Paula E. Cohen, Winfried Edelmann, Matthew D. Scharff	2008	94
6	SHMTool: A webserver for comparative analysis of somatic hypermutation datasets DNA repair ·Thomas MacCarthy, Sergio Roa, Matthew D. Scharff, Aviv Bergman	2008	33
7	Detection of chromatin-associated single-stranded DNA in regions targeted for somatic hypermutation The Journal of Experimental Medicine ·Diana Ronai, Maria D. Iglesias-Ussel, Manxia Fan, Ziqiang Li, Alberto Martín, Matthew D. Scharff	2007	70
8	Methylation protects cytidines from AID-mediated deamination Molecular Immunology ·Mani Larijani, Darina Frieder, Timothy M. Sonbuchner, Ronda Bransteitter, Michael Goodman, Eric E. Bouhassira, Matthew D. Scharff, Alberto Martín	2004	62
9	Activation-induced cytidine deaminase deaminates deoxycytidine on single-stranded DNA but requires the action of RNase Proceedings of the National Academy of Sciences ·Ronda Bransteitter, Phuong Pham, Matthew D. Scharff, Myron F. Goodman Hit paper breakdown →	2003	546
10	Expression of error-prone polymerases in BL2 cells activated for Ig somatic hypermutation Proceedings of the National Academy of Sciences ·Vladimir Poltoratsky, Caroline Woo, Brigette L. Tippin, Alberto Martín, Myron F. Goodman, Matthew D. Scharff	2001	61
11	Somatic Hypermutation in Muts Homologue (Msh)3-, Msh6-, and Msh3/Msh6-Deficient Mice Reveals a Role for the Msh2–Msh6 Heterodimer in Modulating the Base Substitution Pattern The Journal of Experimental Medicine ·Margrit Wiesendanger, Burkhard Kneitz, Winfried Edelmann, Matthew D. Scharff	2000	159
12	Somatic Hypermutation, Transcription, and DNA Mismatch Repair Cell ·Margrit Wiesendanger, Matthew D. Scharff, Winfried Edelmann	1998	40
13	The three-dimensional structures of a polysaccharide binding antibody to Cryptococcus neoformans and its complex with a peptide from a phage display library: implications for the identification of peptide mimotopes Journal of Molecular Biology ·Aideen C. M. Young, Philippe Valadon, Arturo Casadevall, Matthew D. Scharff, James C. Sacchettini	1997	69
14	Variable Region Gene Utilization and Mutation in a Group of Neutralizing Murine Anti-Human Immunodeficiency Virus Type 1 Principal Neutralizing Determinant Antibodies AIDS Research and Human Retroviruses ·Liise‐anne Pirofski, Elaine K. Thomas, Matthew D. Scharff	1993	3
15	MU switch region deletion is associated with both T cell independent and T cell dependent responses Molecular Immunology ·Jean Mukherjee, Arturo Casadevall, Matthew D. Scharff	1993	2
16	T15 PC-binding monoclonal antibodies retain specificity when they switch from IgM to IgG. The Journal of Immunology ·G. Spira, Héctor L. Aguila, Matthew D. Scharff	1988	15
17	Point mutations cause the somatic diversification of IgM and IgG2a antiphosphorylcholine antibodies. The Journal of Experimental Medicine ·Nadine Chien, Roberta R. Pollock, Catherine Desaymard, Matthew D. Scharff	1988	60
18	Serum half life or normal and mutant monoclonal murine antibodies Federation Proceedings ·Roberta R. Pollock, Joshua P. Metlay, Matthew D. Scharff	1984	2
19	Use of Monoclonal Anti-mouse Immunoglobulin to Detect Mouse Antibodies Hybridoma ·Dale E. Yelton, Catherine Desaymard, Matthew D. Scharff	1981	235
20	Antigen binding variants of the S107 mouse myeloma cell line. PubMed ·W D Cook, Stuart Rudikoff, Angela M. Giusti, Donald J. Zack, Thomas J. Kelly, Matthew D. Scharff	1980	2

About Matthew D. Scharff

Matthew D. Scharff is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Genetics and Infectious Diseases, having authored 252 papers that have together received 15.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (119 papers), T-cell and B-cell Immunology (66 papers), Glycosylation and Glycoproteins Research (63 papers), Fungal Infections and Studies (28 papers), Protein purification and stability (26 papers), Immune Cell Function and Interaction (19 papers), Antifungal resistance and susceptibility (18 papers) and Toxin Mechanisms and Immunotoxins (18 papers). The work is most often cited by research in Immunology (6.0k citations), Radiology, Nuclear Medicine and Imaging (4.9k citations), Infectious Diseases (2.4k citations), Molecular Biology (7.7k citations) and Genetics (850 citations). Matthew D. Scharff has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Arturo Casadevall, Jacob V. Maizel, DAVID O. WHITE, Reuven Laskov, Jean Mukherjee, Alberto Martín, David H. Margulies, Myron F. Goodman, Philip Coffino and Betty Diamond. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine, The Journal of Immunology, Infection and Immunity and Journal of Immunological Methods.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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